Recent advances of polymer-based piezoelectric composites for biomedical applications

F Mokhtari, B Azimi, M Salehi, S Hashemikia… - Journal of the Mechanical …, 2021 - Elsevier
Over the past decades, electronics have become central to many aspects of biomedicine
and wearable device technologies as a promising personalized healthcare platform. Lead …

Piezofibers to smart textiles: A review on recent advances and future outlook for wearable technology

F Mokhtari, Z Cheng, R Raad, J Xi… - Journal of Materials …, 2020 - pubs.rsc.org
Recent developments in miniaturized electronic devices with sophisticated computational
capabilities and remarkably low power communication technologies involve a tendency …

An intelligent healthcare monitoring framework using wearable sensors and social networking data

F Ali, S El-Sappagh, SMR Islam, A Ali, M Attique… - Future Generation …, 2021 - Elsevier
Wearable sensors and social networking platforms play a key role in providing a new
method to collect patient data for efficient healthcare monitoring. However, continuous …

[HTML][HTML] Wearable devices for ergonomics: A systematic literature review

E Stefana, F Marciano, D Rossi, P Cocca, G Tomasoni - Sensors, 2021 - mdpi.com
Wearable devices are pervasive solutions for increasing work efficiency, improving workers'
well-being, and creating interactions between users and the environment anytime and …

Rethinking quality of experience for metaverse services: A consumer-based economics perspective

H Du, B Ma, D Niyato, J Kang, Z Xiong, Z Yang - IEEE Network, 2023 - ieeexplore.ieee.org
The Metaverse is considered to be one prototype of the next-generation Internet, which
contains people's expectations for the future world. However, the academic discussion of the …

[HTML][HTML] Wearable sensors and artificial intelligence for physical ergonomics: A systematic review of literature

L Donisi, G Cesarelli, N Pisani, AM Ponsiglione… - Diagnostics, 2022 - mdpi.com
Physical ergonomics has established itself as a valid strategy for monitoring potential
disorders related, for example, to working activities. Recently, in the field of physical …

A forecasting framework for predicting perceived fatigue: Using time series methods to forecast ratings of perceived exertion with features from wearable sensors

S Hajifar, H Sun, FM Megahed, LA Jones-Farmer… - Applied Ergonomics, 2021 - Elsevier
Advancements in sensing and network technologies have increased the amount of data
being collected to monitor the worker conditions. In this study, we consider the use of time …

A data analytic end-to-end framework for the automated quantification of ergonomic risk factors across multiple tasks using a single wearable sensor

SR Lamooki, S Hajifar, J Kang, H Sun, FM Megahed… - Applied ergonomics, 2022 - Elsevier
Existing ergonomic risk assessment tools require monitoring of multiple risk factors. To
eliminate the direct observation, we investigated the effectiveness of an end-to-end …

[HTML][HTML] Estimation of human center of mass position through the inertial sensors-based methods in postural tasks: An accuracy evaluation

M Germanotta, I Mileti, I Conforti, Z Del Prete, I Aprile… - Sensors, 2021 - mdpi.com
The estimation of the body's center of mass (CoM) trajectory is typically obtained using force
platforms, or optoelectronic systems (OS), bounding the assessment inside a laboratory …

Brain‐regulated learning for classifying on‐site hazards with small datasets

X Zhou, PC Liao - Computer‐Aided Civil and Infrastructure …, 2024 - Wiley Online Library
Abstract Machine vision technologies have the potential to revolutionize hazard inspection,
but training machine learning models requires large labeled datasets and is susceptible to …